Expert MySQL is the leading reference for learning, understanding, and extending the MySQL server. It unlocks the full promise of open source by showing how to modify the code, create your own storage engine, build your own authentication plugins, and even add your own functions and commands to the SQL language. No other book provides the level of detail or the extensive examples of the inner workings of MySQL that have taken engineers years to master. Expert MySQL is a must have book for all systems integrators, engineers, and software developers working with the MySQL server code. Shows how to customize MySQL and its storage and authentication engines
Provides in-depth knowledge of internals for use in query tuning and performance troubleshooting
Covers high-end features such as high-availability and replication
Expert MySQL is also a wealth of information on key aspects of MySQL internals. You’ll learn about internal query representation, how the optimizer creates execution plans, and how to exert control over those plans for optimal performance in your environment. You'll even learn to build your own query optimizer, giving insight that can help you understand and resolve tough performance problems. High-availability and replication are also covered, making Expert MySQL a must-have book for anyone doing high-end work involving MySQL.
What you’ll learn
Learn the inner workings of MySQL
Diagnose and improve poorly performing queries
Implement high-availablity solutions and replication
Modify and debug the server code
Build your own pluggable storage engines and authentication modules
Implement new SQL functions and syntax
Build your own query optimizer
Who this book is for
Expert MySQL is written for systems integrators, software developers, and database administrators who are using MySQL and desire a deeper knowledge of MySQL internals in support of high-end work such as performance troubleshooting, customization of the engine and its plugins, query optimizaion, building of high-availability environments, replication of data, and so forth.
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Page Count (est.): 611
Pub Date: 12/19/2012